Automated Pfirmann Grading of Lumbar Disc Degeneration Using…
Emerging
0
Citations29
Refs2025
Year
Search Works
Work Details
- DOI 10.1109/inspect67393.2025.11350690
- OpenAlex ID W7125964547
- Type Conference-paper
- Language EN
- Published 07 Nov 2025
- Pages 1–7
- Source IEEE International Conference on Intelli…
- Publisher Institute of Electrical and Electro…
- Added 29 Jan 2026
- Updated 28 Oct 2026
External Links
MENU
0
Automated Pfirmann Grading of Lumbar Disc Degeneration Using Deep Learning: An End-to-End Framework for MRI Analysis
Conference-paper 2025 EN
Lumbar disc degeneration assessment through Pfirrmann grading is crucial for clinical diagnosis but suffers from inter-observer variability and time-intensive manual evaluation. This paper presents a precise deep learning framework for automated Pfirrmann grading of lumbar disc degeneration from MRI scans. Our method introduces a novel preprocessing pipeline that integrates focus-slice aggregation…
0
Citations
29
References
2
Authors
0.00
FWCI
Topics
Keywords
UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
2 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | R. C. Jain | — | — |
| 2 | Vikas Sakalle | — | — |
Related Works
10Data: OpenAlex